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        Lithofacies Paleogeography and Geological Survey of Shale Gas

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        Author(s)
        Mou, Chuanlong
        Wang, Xiuping
        Wang, Qiyu
        Ge, Xiangying
        Zan, Bowen
        Zhou, Kenken
        Chen, Xiaowei
        Liang, Wei
        Language
        English
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        Abstract
        This is an open access book. This book presents new theory and methods on compiling lithofacies paleogeographic maps as a key tool for guiding geological survey on shale gas. The fundamental goal of the shale gas geological survey is to find the ‘dessert’ area. It is therefore suggested that the lithofacies paleogeographic study and the technique of mapping should be a solid scientific basis for shale gas exploration. It takes Ordovician Wufeng-Silurian Longmaxi Formation in Sichuan Basin and its adjacent area as an example to illustrate how to find the ‘dessert’ area of shale gas in geological survey phase by compiling lithofacies paleogeographic map. It’s a valuable reference for both scientific research and teaching courses in the fields of sedimentary lithofacies, paleogeography, stratigraphy, and oil and gas.
        URI
        https://library.oapen.org/handle/20.500.12657/62446
        Keywords
        Black Shales; Sedimentary Facies; Wufeng-Longmaxi Formation; Ordovician Wufeng-Silurian Longmaxi Formation; Southern Sichuan Basin
        DOI
        10.1007/978-981-19-8861-5
        ISBN
        9789811988615, 9789811988615, 9789811988608
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2023
        Imprint
        Springer Nature Singapore
        Series
        The China Geological Survey Series,
        Classification
        Sedimentology and pedology
        Geology, geomorphology and the lithosphere
        Fossil fuel technologies
        Pages
        255
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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